A-Alpha Bio is an early-stage, rapidly growing biotechnology platform company headquartered in Seattle, WA. We are focused on building the foundational data layer for AI-driven protein engineering. We provide biopharma companies and model builders with access to ground truth experimental datasets, including affinity and structure, for training, benchmarking and validating AI protein models. In parallel, we apply our data and models directly with select partners to engineer next-generation dual-specific and molecular glue therapeutics, and to discover and optimize differentiated biologics.
Candidates must reside in the United States.
Starting Salary Range: $245,000 - $275,000 OTE (Base Salary: $120,000 - $150,000 + Target Incentive: $125,000)
Exemption Status: Exempt
Location Expectations: Remote-Eligible
Reporting To: Director, Commercial Sales & Operations
Role Description
A-Alpha Bio is seeking a Senior Account Executive to own the end-to-end sales process for our Western North America and APAC territories. Typically, these deals are complex, consultative, and large-dollar-value technical sales made to scientific buyers at pharmaceutical companies, biotechnology companies, AI model-makers, and similar organizations. Success in this role will require hunting new logos, expanding existing accounts, and carrying a bookings quota across the full product portfolio. Cross-functional work with marketing, technical, and other internal teams is a key part of this role.
Key Responsibilities
- Own all revenue generation in the Western North America and APAC territory, selling the complete A-Alpha portfolio (including Atlas Data Consortium subscriptions, Data Block licenses, and antibody optimization programs).
- Source, qualify, and close net-new business through robust outbound prospecting, conference presence, and inbound follow-up.
- Manage and expand existing territory accounts.
- Run complex, multi-stakeholder extended sales cycles, collaborating with scientific champions, procurement and legal teams, and executive sponsors.
- Communicate deeply technical value propositions, including how large-scale protein interaction data improves machine learning models, while also leveraging support from internal scientific teams.
- Maintain rigorous pipeline hygiene and forecast accuracy in Salesforce, manage lead capture and follow-up, and participate in weekly forecast cadence.
- Prepare quotes and coordinate agreements (including CDAs, data license agreements, and statements of work) with deal desk and legal resources.
- Develop the APAC market by covering inbound and outbound across this geography (including meetings across time zones and representation of A-Alpha at regional events, as needed).
- Utilize modern AI tools throughout the sales workflow and supporting business processes.
Qualifications & Experience
Required
- Bachelor's degree in life science, machine learning, or a related technical discipline, with 5-8 years of quota-carrying sales experience selling to pharmaceutical and biotech accounts; or an equivalent combination of education and experience.
- Experience selling novel or platform technologies that require educating a scientific audience.
- Demonstrated ownership of complex sales processes involving multiple stakeholders and long sales cycles.
- Ability to travel up to 50% (both domestic and international).
- Proficiency running pipeline and forecast in Salesforce or an equivalent CRM.
Preferred
- Advanced degree (MS, PhD, etc.) in life science, machine learning, or a related technical field.
- Experience at a startup or early commercial stage company.
- Experience selling data licensing, subscriptions, software, or multi-month scientific services such as CRO or CDMO programs.
- Existing relationships within West Coast biopharma, biotech, or AI-driven drug discovery companies.
- Experience with APAC markets (sales or business development).
- Working familiarity with machine learning for protein engineering or drug discovery.
- Hands-on experience with AI tools such as LLMs and agents for prospecting, account planning, forecasting, and business process improvement.
In 2018, A-Alpha Bio spun out of the University of Washington’s Institute for Protein Design and Center for Synthetic Biology – both communities filled with brilliant and highly entrepreneurial scientists. Since the company’s inception, we have built and scaled AlphaSeq, our high-throughput platform for quantitatively measuring protein-protein interactions at unprecedented scale. What began as a technology for generating large, standardized affinity datasets has grown into a broader data engine for AI-driven protein engineering. New members of the team should expect a fast-paced, highly dynamic, and interdisciplinary work environment. We are building a diverse, meritocratic, and supportive team that shares our values of speaking the truth, shooting for the moon, taking the reins, playing for the team, and improving the world.
A-Alpha Bio is headquartered in a custom designed lab and office space in downtown Seattle’s Belltown neighborhood. We are fortunate to be situated in a region that is renowned for its premier outdoor activities, including hiking, biking, climbing, skiing, kayaking, sailing, and more. At A-Alpha, you’ll find many who love the outdoors, but also gamers, amateur chefs, explorers, sports fans, bakers, crafters, photographers, brewers, jetsetters, animal lovers, and artists. Whatever your passions, you belong at A-Alpha Bio!
Skills Required
- Bachelor's degree in life science, machine learning, or a related technical discipline, or equivalent education and experience
- 5-8 years of quota-carrying sales experience selling to pharmaceutical and biotech accounts
- Experience selling novel or platform technologies requiring education of a scientific audience
- Experience owning complex sales processes involving multiple stakeholders and long sales cycles
- Ability to travel up to 50% domestically and internationally
- Proficiency managing pipeline and forecasts in Salesforce or an equivalent CRM
- Advanced degree such as an MS or PhD in life science, machine learning, or a related technical field
- Experience at a startup or early commercial-stage company
- Experience selling data licensing, subscriptions, software, or multi-month scientific services such as CRO or CDMO programs
- Existing relationships within West Coast biopharma, biotech, or AI-driven drug discovery companies
- Experience with APAC markets in sales or business development
- Working familiarity with machine learning for protein engineering or drug discovery
- Hands-on experience with AI tools such as LLMs and agents for prospecting, account planning, forecasting, and process improvement
What We Do
At A-Alpha Bio, we aim to accelerate target discovery, library screening, and preclinical drug characterization by providing cell-based tools for quantitative and high-throughput measurements of protein interactions. Current approaches for measuring protein interactions are insufficient for many drug development applications due to low accuracy or throughput. We are a team of synthetic biologists, structural biologists, and next-generation sequencing experts who have come together to remove this industry-wide bottleneck. AlphaSeq is a revolutionary cell-based platform technology that will fundamentally change the way that protein interactions are measured. We are seeking industry partnerships to evaluate the use of AlphaSeq for a variety of drug development applications. A-Alpha Bio, Inc. was founded in 2017 as a spinout from the University of Washington's Institute for Protein Design and Center for Synthetic Biology.
